The crisis early warning of the quality of supply chain based on rough set&feature weighted support vector machine
A Rough Set&Feature Weighted Support Vector Machine(RS-FWSVM) model is proposed for the quality of supply chain crisis early-warning, which aims at some problems of the quality of supply chain. This model combines the advantages of the RS and FWSVM, which can get classification per-formances by...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201711901039 |